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NSGA-II parameterization for the optimal pressure sensor location in water distribution networks

2023Journal article Open access
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dc.contributor.authorFerreira, Bruno
dc.contributor.authorAntunes, André
dc.contributor.authorCarriço, Nelson
dc.contributor.authorCovas, Dídia
dc.date.accessioned2024-02-06T15:37:35Z
dc.date.available2024-02-06T15:37:35Z
dc.date.issued2023
dc.description.abstractThe optimal location of pressure sensors is typicallysolved using heuristic algorithms. Non-dominated Sorting Genetic Algorithm II (NSGA-II) is one of the most used algorithms in the water industry, requiring a preliminary parameter tuning process. The lack of guidelines on how to tune model parameters generally limits the use of these algorithms by researchers or practitioners and, as such, fails to be used in real-life problems. The current paper explores different NSGA-II parameterizations for the optimal location of pressure sensors by using a multi-objective optimization methodology applied to a real distribution network. Results show that (i) both the uniform and simulated binary crossover operators (depending on the internal parameters) produce the best results, being the former recommended since it does not require further parameter tuning; (ii) polynomial mutation with lower probability value should be chosen; and (iii) the distribution indices of polynomial mutation have a minor effect on NSGA-II performance.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFerreira, B., Antunes, A., Carriço, N. & Covas, D. (2023). NSGA-II parameterization for the optimal pressure sensor location in water distribution networks. Urban Water Journal, 20, 6, 738-750pt_PT
dc.identifier.doihttps://doi.org/10.1080/1573062X.2023.2209553pt_PT
dc.identifier.issn1744-9006
dc.identifier.urihttp://hdl.handle.net/10400.26/49649
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/1573062X.2023.2209553pt_PT
dc.titleNSGA-II parameterization for the optimal pressure sensor location in water distribution networkspt_PT
dc.typejournal article
dspace.entity.typePublication
person.familyNameNamorado Canhoto Antunes
person.familyNameCarriço
person.givenNameAndré Miguel
person.givenNameNelson
person.identifierH-2945-2012
person.identifier.ciencia-idE717-C765-4699
person.identifier.ciencia-id3A1B-E21C-C25A
person.identifier.orcid0000-0001-9030-5956
person.identifier.orcid0000-0002-2474-7665
person.identifier.scopus-author-id55191330100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication77b16a8b-6048-44b8-87b0-4898715f9da3
relation.isAuthorOfPublication50e5fafa-1d0d-440e-aebd-3a1a49f136c3
relation.isAuthorOfPublication.latestForDiscovery77b16a8b-6048-44b8-87b0-4898715f9da3

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